JP5925947B1 - Eyelash extension evaluation device, eyelash extension evaluation method, eyelash extension evaluation system, and program - Google Patents

Abstract

[PROBLEMS] By accurately measuring the radius of a circle partially including the arc when the eyelash extension is assumed to be an arc, it is possible to evaluate the eyelash extension appropriately for each curl based on the radius. To do. The present invention relates to an apparatus for evaluating eyelash extensions, an image data acquiring unit 2a for acquiring image data, an image extracting unit 2b for extracting eyelash extension curve data from the image data, and curve data. Are provided with a numerical value calculation unit 2c that calculates the radius of a circle that includes the arc as a part when the curve specified by is is an arc, and an evaluation unit 2d that evaluates the eyelash extension based on the radius. The evaluation is to classify eyelash extensions based on the radius. [Selection] Figure 1

Description

  The present invention relates to an eyelash extension evaluation apparatus, an eyelash extension evaluation method, an eyelash extension evaluation system, and a program for appropriately evaluating the curl of an eyelash extension.

  Conventionally, there is a degree of curling as one index for classifying eyelash extensions. In general, curls may be referred to as J curls, C curls, CC curls, and D curls in order of decreasing curl. However, they are not classified according to a uniform standard, and the degree of curl is often different for each manufacturer even with the same name. This is because the curl angle has not been accurately measured.

  Today, there are a wide variety of eyelash extensions on the market, but when users choose the eyelash extension that is suitable for them, the same curl name for each manufacturer is eliminated and the angle is slightly different. It is hoped that the merchandise can be accurately identified by properly classified curl designations.

  As an apparatus for simulating the appearance of eyelashes, there is an apparatus that creates a 3D image of a set of eyelashes depending on a value of 1 of a simulation parameter that can be changed by a user (see, for example, Patent Document 1).

JP 2006-79619 A

  However, what was disclosed in Patent Document 1 is only intended for cosmetic treatment of eyelashes, and does not evaluate the eyelash extension itself. Therefore, eyelash extensions cannot be classified by curl.

  As mentioned above, when the degree of curl is the same for each manufacturer, the beauty salon and other vendors that handle a wide variety of eyelash extensions select the appropriate eyelash extension under the appropriate classification for the customer. It cannot be done, and its realization is envied. In addition, in manufacturing factories, etc., when manufacturing eyelash extensions for a specified curl, it is important to determine whether the product meets the curl standards. This is also important in suppressing variations.

  The present invention has been made in view of such a problem, and when the eyelash extension is assumed to be an arc, the radius of a circle including the arc is measured accurately, and the eyelash for each curl is based on the radius. The purpose is to enable evaluation to properly classify extensions.

In order to solve the above-described problem, an eyelash extension evaluation apparatus according to a first aspect of the present invention is an apparatus that evaluates an eyelash extension, and includes an image data acquisition unit that acquires image data, and the image data Based on the radius, an image extraction unit that extracts the eyelash extension curve data, a numerical calculation unit that calculates a radius of a circle having a part of the arc when the curve specified by the curve data is assumed to be an arc Bei example and a evaluation unit for evaluating the eyelash Extended Te, the numerical operation section, any two of the plurality of line segments each pixel and the center of the eyelash Extended portion of a circle part the arc forms When the line segment is selected, the maximum value of the center angle of the arc is calculated as the center angle of the arc, and the length of the arc and the thickness of the arc are further calculated .

An eyelash extension evaluation method according to a second aspect of the present invention is a method for evaluating an eyelash extension, the first step of acquiring image data, and extracting the curve data of the eyelash extension from the image data. A second step, calculating a radius of a circle partially including the arc when the curve specified by the curve data is assumed to be an arc, and a center of the circle including the arc and an eyelash extension portion; The maximum value of the center angle of the arc when any two of the line segments formed by each pixel is selected is calculated as the center angle of the arc, and the length of the arc and the thickness of the arc are calculated. And a fourth step of evaluating the eyelash extension based on the radius.

A program according to a third aspect of the present invention specifies a computer by an image data acquisition unit that acquires image data, an image extraction unit that extracts curve data of the eyelash extension from the image data, and the curve data. When calculating a radius of a circle partially including the arc when the curved line is assumed to be a circular arc, and an evaluation unit that evaluates the eyelash extension based on the radius, the numerical calculation unit, The center angle of the arc is calculated as the center angle of the arc when an arbitrary two line segments are selected from the plurality of line segments formed by the pixels of the eyelash extension portion and the center of the circle including the arc as a part. , The length of the arc and the thickness of the arc are further calculated .

An eyelash extension evaluation system according to a fourth aspect of the present invention is an eyelash extension evaluation system, an image pickup unit for picking up an image of the eyelash extension, and image data for acquiring image data from the image pickup unit. An acquisition unit; an image extraction unit that extracts curve data of the eyelash extension from the image data; and a radius of a circle partially including the arc when the curve specified by the curve data is assumed to be an arc e Bei and numeric computing unit, and an evaluation unit for evaluating the eyelash Extended based on the radius, the numerical operation section, a plurality of pixels and the center of the eyelash Extended portion of a circle part the arc forms The maximum value of the center angle of the arc when any two of the line segments are selected is calculated as the center angle of the arc, and the length of the arc and the thickness of the arc are further calculated.

  According to the present invention, when the eyelash extension is assumed to be an arc, it is possible to accurately measure the radius of a circle partially including the arc, and to evaluate the eyelash extension appropriately for each curl based on the radius. An eyelash extension evaluation device, an eyelash extension evaluation method, an eyelash extension evaluation system, and a program can be provided.

It is a block diagram of the eyelash extension evaluation apparatus which concerns on 1st Embodiment of this invention. It is a figure which shows an example of the evaluation table memorize | stored in evaluation DB8. It is a flowchart which shows the process sequence by the eyelash extension evaluation apparatus which concerns on 1st Embodiment of this invention. It is a flowchart which shows the detailed procedure of numerical calculation. FIG. 10 is a diagram showing a display example by the display unit 6. It is a block diagram of the eyelash extension evaluation apparatus which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the process sequence by the eyelash extension evaluation apparatus which concerns on 2nd Embodiment of this invention. It is a figure which shows the example of a display by a display part. It is a figure which shows the example of a display by a display part. (A) And (b) is a block diagram of the eyelash extension evaluation system which concerns on 3rd Embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<First Embodiment>

  FIG. 1 shows and describes the configuration of an eyelash extension evaluating apparatus according to a first embodiment of the present invention.

  As shown in the figure, the eyelash extension evaluating apparatus 1 includes a control unit 2 such as a CPU. The control unit 2 includes an input unit 3, an operation unit 4, a storage unit 5, a display unit 6, a communication unit 7, It is connected to the evaluation DB8. The control unit 2 reads and executes the program 10 stored in the storage unit 5 to thereby execute an image data acquisition unit 2a, an image extraction unit 2b, a numerical value calculation unit 2c, an evaluation unit 2d, a display control unit 2e, and a main control. It functions as part 2f.

  The input unit 3 is an interface (I / F) that receives input of image data or the like from an external device or the like. The operation unit 4 is various operation members such as a keyboard and a mouse. The storage unit 5 includes a memory, an HDD (Hard Disc Drive), and the like, and stores a program 10 related to the evaluation of eyelash extensions, and provides a work area at the time of execution. The display unit 6 is various display devices such as a liquid crystal display. The communication unit 7 is a communication I / F that performs communication with an external device via a network such as the Internet. The evaluation DB 8 is storage means for holding a table used for evaluation of eyelash extensions.

  In the control unit 2, each unit plays the following role. The image data acquisition unit 2 a acquires image data input via the input unit 3 or the communication unit 7. The image extraction unit 2b extracts eyelash extension curve data from the image data. The numerical calculator 2c calculates an angle formed by the arc when the curve specified by the curve data is assumed to be an arc. The evaluation unit 2d evaluates the eyelash extension based on at least one of the calculated values. The display control unit 2e controls to display the evaluation result and the like on the display unit 6. The main control unit 2f performs other overall control.

  More specifically, the numerical calculation unit 2c further calculates at least one of the length of the arc, the radius of the arc, and the thickness of the arc when the curve specified by the curve data is assumed to be an arc. As an example, the image extraction unit 2b extracts the pixels of the eyelash extension portion from the image data, sets the coordinate data obtained by approximating the pixels with a quadratic curve as curve data, and the numerical calculation unit 2c Based on the ratio between the pixel and the actual length, at least one of the length of the arc, the radius of the circle partially including the arc, and the thickness of the arc is further calculated. As an example of the angle calculation, the numerical calculation unit 2c sets the maximum value of the angle formed by the arc when the center of the circle including the arc and the line segment of each pixel of the eyelash extension portion are selected. Calculated as an angle. Then, the evaluation unit 2d refers to the evaluation table in the evaluation DB 8, and selects one of J curl, C curl, CC curl, and D curl based on the radius of a circle having an eyelash extension as a part thereof. Classify into: In the above order, the curls become stronger, and the stronger the curls, the more the eyelash extensions will face upwards, creating a gorgeous and flashy image.

FIG. 2 shows an example of the evaluation table stored in the evaluation DB 8 and will be described. As shown in the figure, in this evaluation table, the range of the radius (R) of a circle having an arc as a part is associated with the name of the curl corresponding thereto. The correspondence is as follows.
A1 <R ≦ a2 J curl a3 <R ≦ a4 C curl a5 <R ≦ a6 CC curl s7 <R ≦ a8 D curl For example, it can be defined as follows.
・ 6.5 <R ≦ 7.0 J curl ・ 5.5 <R ≦ 6.5 C curl ・ 5.0 <R ≦ 5.5 CC curl ・ 4.5 <R ≦ 5.0 D curl This is merely an example, and the present invention is not limited to this.

  Hereinafter, with reference to the flowchart of FIG. 3, the processing procedure by the eyelash extension evaluating apparatus according to the first embodiment of the present invention will be described in detail. At least part of this processing procedure corresponds to part or all of the eyelash extension evaluation method according to the first embodiment.

  When the process is started, the image data acquisition unit 2a first acquires image data input to the apparatus via the input unit 3 or the communication unit 7 (S1). For example, when image data captured by a scanner, which is an external device, is input, the data format is a format such as JPEG, BMP, TIFF, but is not limited thereto.

  Subsequently, the image extraction unit 2b extracts eyelash extension curve data from the image data (S2). For example, the image extraction unit 2b extracts the pixel of the eyelash extension portion from the image data, and uses the coordinate data obtained by approximating the pixel with a quadratic curve as curve data. Details of the processing in step S2 will be described later with reference to FIG.

  Next, the numerical calculation unit 2c determines the angle formed by the arc, the length of the arc, the radius of the circle having the arc as a part, and the thickness of the arc when the curve specified by the curve data is assumed to be a part of the circle. Is calculated. The length, radius, and thickness of the arc are converted to the actual length unit (mm) based on the ratio p of the pixel to the actual length and replaced with the actual length of the eyelash extension (S3).

  For example, the numerical calculation unit 2c determines the maximum angle formed by an arc when selecting any two line segments among a plurality of line segments formed by each pixel in the eyelash extension portion and the center of a circle whose arc is a part. The value is calculated as the angle formed by the arc. Then, the numerical calculation unit 2c calculates the actual lengths of the length, radius, and thickness of the arc related to the eyelash extension based on the ratio p between the pixels and the actual length. Hereinafter, each operation will be further described.

The radius R of the circle is calculated based on the result obtained by approximating the pixel data to a curve by the least square method or the like when extracting the extension image. The length L of the arc is calculated from the angle θ and the radius R by the following calculation formula.
L = πRθ / 180 (π: pi, θ: degree)
The thickness T of the arc is calculated from the maximum value of the difference between the maximum value and the minimum value with respect to the distance between each pixel in the center of the circle and the eyelash extension portion. The ratio p of the actual length of the pixel and the eyelash extension can be obtained from the DPI included in the image data.
p = 0.254 / d (d: arithmetic average of DPI on the vertical and horizontal axes)

  Subsequently, the evaluation unit 2d evaluates the eyelash extension with reference to the evaluation table of the evaluation DB 8 based on the numerical calculation result (S4). For example, the evaluation unit 2d refers to the evaluation table based on the calculated radius R, and classifies the curl into a corresponding curl type (for example, any of J curl, C curl, CC curl, and D curl).

  Then, a numerical calculation result and an evaluation result are output (S5). At this time, the main control unit 2f stores the numerical calculation result and the evaluation result in the evaluation DB 8. The display control unit 2e can also display the numerical calculation result and the evaluation result on the display unit 6. Thus, a series of processes related to eyelash extension evaluation is completed.

  Here, FIG. 4 shows and describes the detailed procedure of the extension image extraction process executed in step S2 of FIG.

  Here, RGB image data is acquired as a target image, and coordinate data (two-dimensional coordinate point sequence) of eyelash extensions on the target image is extracted.

  Upon entering this process, a smoothing process is performed (S11). That is, noise (noise) existing in the image such as unintentional dirt and objects is removed by smoothing. Subsequently, a sharpening process is performed (S12). That is, the image color is processed so that the blurred portion of the image can be clearly expressed by sharpening. If the quality of the target image is sufficiently maintained, such as when a scanner is used as the image output device, the processes in steps S11 and S12 can be omitted.

  Subsequently, a gray scale conversion process is performed (S13). That is, the target image expressed in RGB of three channels (three dimensions) is converted into a gray scale image (monochrome image) of one channel. Next, binarization processing is performed (S14). In the binarization, the value of each pixel of the gray scale image expressed by the values of one channel 0 to 255 is limited to two values. For example, a so-called threshold type binarization in which one value of 0 to 255 is selected as a threshold and the pixel is separated into a pixel that is equal to or greater than the threshold and a pixel that is less than the threshold can be employed. By this binarization processing, it is possible to separate the eyelash extension portion from the gray scale image and other portions.

  Subsequently, a curve approximation process is performed (S15). Here, the pixel data of the eyelash extension portion is detected from the binarized image, the detected pixel data is regarded as a point sequence of two-dimensional coordinates, and approximated to a mathematical expression representing a curve formed by the pixel group.

  This curve approximation process further includes the following procedure. First, assuming that there are a plurality of eyelash extensions on the binarized image, each eyelash extension portion is detected. Subsequently, for each detected eyelash extension portion, approximation to the equation of a circle is performed using, for example, the least square method. As a result, the center coordinates of the circle when the eyelash extension is assumed to be an arc can be obtained. Then, the pixels are aggregated by averaging the distance between the center of the circle and each coordinate for each angle using a polar coordinate system formula. After the above processing, the process returns to step S2 in FIG.

  FIG. 5 illustrates a display example of the result calculated by the above numerical calculation. As shown in the figure, the target image is shown in the area 101 of the screen 100, and the eyelash extension portion is highlighted in the image, and the state of a circle when assuming an arc is also shown. . In the area 102, the calculated angle, length, radius, and thickness of the eyelash extension are displayed in a list form in place of the actual length. Of course, the evaluation by the evaluation unit 2d may be displayed in accordance with the area 102.

  As described above, according to the first embodiment of the present invention, when the eyelash extension is assumed to be an arc, the curl of the eyelash extension is appropriately classified based on the radius R of the circle having the arc as a part. It becomes possible. Furthermore, since the calculated angle θ, length L, radius R, and thickness T of the eyelash extension are replaced with the actual length, the eyelash extension is appropriately evaluated and classified together with the curl. Can do.

Second Embodiment

  In FIG. 6, the structure of the eyelash extension evaluation apparatus which concerns on 2nd Embodiment of this invention is shown and demonstrated. Here, the same components as those in FIG. 1 are denoted by the same reference numerals, overlapping description will be omitted, and description will be focused on different portions.

  The eyelash extension evaluating apparatus 20 further functions as a fitness determination unit 2g when the control unit 2 reads and executes the program 11 in the storage unit 5. The fitness level determination unit 2g determines the level of fitness between the eyelash extension and the customer's condition based on the angle θ, the length L, the radius R, and the thickness T of the eyelash extension calculated by the units 2a to 2e. Is. The eyelash extension evaluating apparatus 20 further includes a customer information DB 9, and customer conditions are stored in the customer information DB 9 in a table format. The condition relating to the customer's eyelash extension is that, for example, by operating the operation unit 4 and inputting information on the input screen displayed on the display unit 6, the main control unit 2 f is confirmed, and the confirmed information is determined by the customer. Store appropriately in DB9.

  Hereinafter, with reference to the flowchart of FIG. 7, the process procedure by the eyelash extension evaluation apparatus which concerns on 2nd Embodiment of this invention is demonstrated in detail. At least part of this processing procedure corresponds to part or all of the eyelash extension evaluation method according to the second embodiment.

  Steps S21 to S25 are the same as steps S1 to S4 in FIG.

  In step S26, the fitness level determination unit 2g performs a fitness level determination process. More specifically, various numerical values that are calculation results are read from the evaluation DB 8, and customer information is read from the customer information DB 9. For example, the length, thickness, and impression are matched with customer conditions and numerical values of each eyelash extension. Determine the degree. Note that the impression is adapted in the order of J curl, C curl, CC curl, and D curl from a natural impression to a flashy impression. However, it is not limited to this. Thus, the determined result is output (S27). Here, for example, the determination result is displayed on the display unit 6 under the control of the display control unit 2e. At this time, numerical calculation results and table results may be displayed together or may be displayed on a separate screen. Thus, the process ends.

  8 and 9 show examples of display by the display unit 6 and will be described.

  FIG. 8 shows the display of the customer condition setting screen 200 displayed on the display unit 6. As shown in the figure, a customer ID is displayed, and in the area below it, “length” can be selected from “short” to “long” in five stages, and “thickness” is set to “thin” "" To "thick" can be selected in five stages, and "impression" can be selected in five stages from "natural" to "flashy".

  FIG. 9 shows a display example of the fitness level determination result screen 201 displayed on the display unit 6. As shown in the figure, the customer ID is displayed, and in the area below it, the product name, length, thickness, impression level of each eyelash extension, and the fitness level are listed in order from the highest fitness level. Display in list form. Accordingly, the customer or beauty salon can easily and quickly select an eyelash extension that meets the customer's conditions from the list.

  As described above, according to the second embodiment of the present invention, based on the angle θ, the length L, the radius R, and the thickness T of the eyelash extension, the degree of conformity between the eyelash extension and the customer condition is determined. Can introduce the best products.

<Third Embodiment>

  10 (a) and 10 (b) show and explain the configuration of an eyelash extension evaluation system according to the third embodiment of the present invention.

  The third embodiment is an eyelash extension evaluation system using the eyelash extension evaluation apparatus 1 according to the first embodiment, and is characterized in that the devices on the input side are limited.

  In the configuration of FIG. 10A, the eyelash extension evaluating apparatus 1 is connected to a camera 30 as an imaging unit, and image data is output from the camera 30 to the eyelash extension evaluating apparatus 1. The camera 30 images a manufactured eyelash extension in a predetermined imaging range in a manufacturing process conveyed by the belt conveyor 31 and outputs image data. The processing on the eyelash extension evaluating apparatus 1 side that has received the image data is as described in the first embodiment. The eyelash extension evaluating device 20 can be similarly employed.

  In the configuration of FIG. 10B, the eyelash extension evaluation apparatus 1 is connected to the scanner 40 as an imaging unit, and image data is output from the scanner 40 to the eyelash extension evaluation apparatus 1. The scanner 40 scans a sheet 41 on which a plurality of eyelash extensions are pasted, and outputs image data. The processing on the eyelash extension evaluating apparatus 1 side that has received the image data is as described in the first embodiment. The eyelash extension evaluating device 20 can be similarly employed.

  As described above, according to the third embodiment of the present invention, it is possible to take an image of the eyelash extension manufactured in the manufacturing process in the manufacturing factory and appropriately evaluate the eyelash extension. Alternatively, the manufactured product can be sampled, pasted on a predetermined sheet, and the sheet can be scanned, so that the evaluation can be appropriately performed.

  The first to third embodiments of the present invention have been described above. However, the present invention is not limited to this, and various improvements and modifications can be made without departing from the spirit of the present invention.

  For example, before reaching the gray scale conversion process, information on the color of the eyelash extension may be acquired from the RGB information and output together.

DESCRIPTION OF SYMBOLS 1 Eyelash extension evaluation apparatus 2 Control part 2a Image data acquisition part 2b Image extraction part 2c Numerical calculation part 2d Evaluation part 2e Display control part 2f Main control part 2g Suitability determination part 3 Input part 4 Operation part 5 Storage part 6 Display part 7 Communication Department 8 Evaluation DB
9 Customer information DB
10 Program 11 Program 20 Eyelash extension evaluation device 30 Camera 40 Scanner

Claims (12)

A device for evaluating eyelash extensions,
An image data acquisition unit for acquiring image data;
An image extraction unit for extracting curve data of the eyelash extension from the image data;
A numerical calculation unit for calculating a radius of a circle having a part of the arc when the curve specified by the curve data is assumed to be an arc;
An evaluation unit that evaluates the eyelash extension based on the radius, and
The numerical calculation unit is the maximum value of the center angle of the arc when any two line segments are selected from the plurality of line segments formed by the pixels of the eyelash extension portion and the center of the circle partially including the arc. Is an eyelash extension evaluation device that further calculates the length of the arc and the thickness of the arc . The image extraction unit extracts a pixel of an eyelash extension portion from the image data, the coordinate data obtained by approximating the pixel with a quadratic curve as the curve data,
The eyelash extension according to claim 1 , wherein the numerical calculation unit further calculates at least one of a length of the arc, a radius of the arc, and a thickness of the arc based on a ratio between the pixel and the actual length. Evaluation device. The evaluation is to classify eyelash extensions into one of J curl, C curl, CC curl, and D curl based on the radius.
The eyelash extension evaluation apparatus according to claim 1 or 2 . A method for evaluating eyelash extensions,
A first step of acquiring image data;
A second step of extracting curve data of the eyelash extension from the image data;
When a curve specified by the curve data is assumed to be an arc, a radius of a circle partially including the arc is calculated , and a plurality of pixels formed by the center of the circle including the arc and each of the eyelash extension portions The maximum value of the center angle of the arc when any two of the line segments are selected is calculated as the center angle of the arc, and the length of the arc and the thickness of the arc are calculated. And the steps
A fourth step of evaluating the eyelash extension based on the radius, and an eyelash extension evaluation method. In the second step, the pixel data of the eyelash extension is extracted from the image data, and the coordinate data obtained by approximating the pixel with a quadratic curve is used as the curve data.
  In the third step, at least one of the length of the arc, the radius of the arc, and the thickness of the arc is further calculated based on a ratio between the pixel and the actual length.
  The eyelash extension evaluation method according to claim 4. The evaluation is to classify eyelash extensions into one of J curl, C curl, CC curl, and D curl based on the radius.
  The eyelash extension evaluation method according to claim 4 or 5. Computer
An image data acquisition unit for acquiring image data;
An image extraction unit for extracting curve data of the eyelash extension from the image data;
A numerical calculation unit that calculates a radius of a circle partially including the arc when the curve specified by the curve data is assumed to be an arc;
Function as an evaluation unit for evaluating the eyelash extension based on the radius,
The numerical calculation unit is the maximum value of the center angle of the arc when any two line segments are selected from the plurality of line segments formed by the pixels of the eyelash extension portion and the center of the circle partially including the arc. Is calculated as the center angle of the arc, and the length of the arc and the thickness of the arc are further calculated .   The image extraction unit extracts a pixel of an eyelash extension portion from the image data, the coordinate data obtained by approximating the pixel with a quadratic curve as the curve data,
  The numerical calculation unit further calculates at least one of the length of the arc, the radius of the arc, and the thickness of the arc based on a ratio between the pixel and the actual length.
  The program according to claim 7. The evaluation is to classify eyelash extensions into one of J curl, C curl, CC curl, and D curl based on the radius.
  The program according to claim 7 or 8. A system for evaluating eyelash extensions,
An imaging unit that captures an image of the eyelash extension;
An image data acquisition unit for acquiring image data from the imaging unit;
An image extraction unit for extracting curve data of the eyelash extension from the image data;
A numerical calculation unit that calculates a radius of a circle partially including the arc when the curve specified by the curve data is assumed to be an arc;
E Bei and a evaluation unit for evaluating the eyelash Extended based on the radius,
The numerical calculation unit is the maximum value of the center angle of the arc when any two line segments are selected from the plurality of line segments formed by the pixels of the eyelash extension portion and the center of the circle partially including the arc. Is an eyelash extension evaluation system that further calculates the length of the arc and the thickness of the arc .   The image extraction unit extracts a pixel of an eyelash extension portion from the image data, the coordinate data obtained by approximating the pixel with a quadratic curve as the curve data,
  The numerical calculation unit further calculates at least one of the length of the arc, the radius of the arc, and the thickness of the arc based on a ratio between the pixel and the actual length.
  The eyelash extension evaluation system according to claim 10. The evaluation is to classify eyelash extensions into one of J curl, C curl, CC curl, and D curl based on the radius.
  The eyelash extension evaluation system according to claim 10 or 11.